Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Multiple imputation by chained equations (MICE) requires specifying a suitable conditional imputation model for each incomplete variable and then iteratively imputes the missing values. In the presence of missing not at random (MNAR) outcomes, valid statistical inference often requires joint models for missing observations and their indicators of m...
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Full title
Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors
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TN_cdi_doaj_primary_oai_doaj_org_article_e76ad7cce14c4ed4b8ab3e320d09a3b4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e76ad7cce14c4ed4b8ab3e320d09a3b4
Other Identifiers
ISSN
1471-2288
E-ISSN
1471-2288
DOI
10.1186/s12874-018-0547-1
